Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#2)

- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (a8d3a9b0983c9c77ebcd7cf95c5e6487d2e5565b)


Co-authored-by: Yuichiro Tachibana <[email protected]>

README.md

@@ -7,21 +7,21 @@ https://huggingface.co/google/vit-base-patch16-224 with ONNX weights to be compa
 
 ## Usage (Transformers.js)
 
-If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
+If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
 ```bash
-npm i @xenova/transformers
+npm i @huggingface/transformers
 ```
 
 **Example:** Perform image classification with `Xenova/vit-base-patch16-224`
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
-const classifier = await pipeline('image-classification', 'Xenova/vit-base-patch16-224')
+const classifier = await pipeline('image-classification', 'Xenova/vit-base-patch16-224');
 const urls = [
     'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg',
     'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg',
 ];
-const output = await classifier(urls)
+const output = await classifier(urls);
 // [
 //   { label: 'tiger, Panthera tigris', score: 0.6074584722518921 },
 //   { label: 'Egyptian cat', score: 0.8246098756790161 }

onnx/model_bnb4.onnx

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+size 54515038

onnx/model_q4.onnx

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+size 59822926

onnx/model_q4f16.onnx

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+size 51248686

onnx/model_uint8.onnx

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+size 87684215